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<a href="_energy_storing_tempered_markov_chain_8h.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">/*!</span></div>
<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment"> * </span></div>
<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment"> *</span></div>
<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment"> * \brief       -</span></div>
<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment"> *</span></div>
<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span><span class="comment"> * \author      -</span></div>
<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="comment"> * \date        -</span></div>
<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span><span class="comment"> *</span></div>
<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="comment"> *</span></div>
<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span><span class="comment"> * \par Copyright 1995-2017 Shark Development Team</span></div>
<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span><span class="comment"> * </span></div>
<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span><span class="comment"> * &lt;BR&gt;&lt;HR&gt;</span></div>
<div class="line"><a id="l00013" name="l00013"></a><span class="lineno">   13</span><span class="comment"> * This file is part of Shark.</span></div>
<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span><span class="comment"> * &lt;https://shark-ml.github.io/Shark/&gt;</span></div>
<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span><span class="comment"> * </span></div>
<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span><span class="comment"> * Shark is free software: you can redistribute it and/or modify</span></div>
<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span><span class="comment"> * it under the terms of the GNU Lesser General Public License as published </span></div>
<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span><span class="comment"> * by the Free Software Foundation, either version 3 of the License, or</span></div>
<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span><span class="comment"> * (at your option) any later version.</span></div>
<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span><span class="comment"> * </span></div>
<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span><span class="comment"> * Shark is distributed in the hope that it will be useful,</span></div>
<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span><span class="comment"> * but WITHOUT ANY WARRANTY; without even the implied warranty of</span></div>
<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span><span class="comment"> * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the</span></div>
<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span><span class="comment"> * GNU Lesser General Public License for more details.</span></div>
<div class="line"><a id="l00025" name="l00025"></a><span class="lineno">   25</span><span class="comment"> * </span></div>
<div class="line"><a id="l00026" name="l00026"></a><span class="lineno">   26</span><span class="comment"> * You should have received a copy of the GNU Lesser General Public License</span></div>
<div class="line"><a id="l00027" name="l00027"></a><span class="lineno">   27</span><span class="comment"> * along with Shark.  If not, see &lt;http://www.gnu.org/licenses/&gt;.</span></div>
<div class="line"><a id="l00028" name="l00028"></a><span class="lineno">   28</span><span class="comment"> *</span></div>
<div class="line"><a id="l00029" name="l00029"></a><span class="lineno">   29</span><span class="comment"> */</span></div>
<div class="line"><a id="l00030" name="l00030"></a><span class="lineno">   30</span><span class="preprocessor">#ifndef SHARK_UNSUPERVISED_RBM_SAMPLING_ESTEMPEREDMARKOVCHAIN_H</span></div>
<div class="line"><a id="l00031" name="l00031"></a><span class="lineno">   31</span><span class="preprocessor">#define SHARK_UNSUPERVISED_RBM_SAMPLING_ESTEMPEREDMARKOVCHAIN_H</span></div>
<div class="line"><a id="l00032" name="l00032"></a><span class="lineno">   32</span> </div>
<div class="line"><a id="l00033" name="l00033"></a><span class="lineno">   33</span> </div>
<div class="line"><a id="l00034" name="l00034"></a><span class="lineno">   34</span><span class="preprocessor">#include &lt;<a class="code" href="_tempered_markov_chain_8h.html">shark/Unsupervised/RBM/Sampling/TemperedMarkovChain.h</a>&gt;</span></div>
<div class="line"><a id="l00035" name="l00035"></a><span class="lineno">   35</span><span class="keyword">namespace </span><a class="code hl_namespace" href="namespaceshark.html" title="AbstractMultiObjectiveOptimizer.">shark</a>{</div>
<div class="line"><a id="l00036" name="l00036"></a><span class="lineno">   36</span>    </div>
<div class="line"><a id="l00037" name="l00037"></a><span class="lineno">   37</span><span class="comment"></span> </div>
<div class="line"><a id="l00038" name="l00038"></a><span class="lineno">   38</span><span class="comment">///\brief Implements parallel tempering but also stores additional statistics on the energy differences</span></div>
<div class="line"><a id="l00039" name="l00039"></a><span class="lineno">   39</span><span class="comment"></span><span class="keyword">template</span>&lt;<span class="keyword">class</span> Operator&gt;</div>
<div class="foldopen" id="foldopen00040" data-start="{" data-end="};">
<div class="line"><a id="l00040" name="l00040"></a><span class="lineno"><a class="line" href="classshark_1_1_energy_storing_tempered_markov_chain.html">   40</a></span><span class="keyword">class </span><a class="code hl_class" href="classshark_1_1_energy_storing_tempered_markov_chain.html" title="Implements parallel tempering but also stores additional statistics on the energy differences.">EnergyStoringTemperedMarkovChain</a>{</div>
<div class="line"><a id="l00041" name="l00041"></a><span class="lineno">   41</span><span class="keyword">private</span>:</div>
<div class="line"><a id="l00042" name="l00042"></a><span class="lineno">   42</span>    <span class="keyword">typedef</span> <span class="keyword">typename</span> Operator::HiddenSample HiddenSample;</div>
<div class="line"><a id="l00043" name="l00043"></a><span class="lineno">   43</span>    <span class="keyword">typedef</span> <span class="keyword">typename</span> Operator::VisibleSample VisibleSample;</div>
<div class="line"><a id="l00044" name="l00044"></a><span class="lineno">   44</span><span class="keyword">public</span>:</div>
<div class="line"><a id="l00045" name="l00045"></a><span class="lineno">   45</span><span class="comment"></span> </div>
<div class="line"><a id="l00046" name="l00046"></a><span class="lineno">   46</span><span class="comment">    ///\brief The MarkovChain can&#39;t be used to compute several samples at once.</span></div>
<div class="line"><a id="l00047" name="l00047"></a><span class="lineno">   47</span><span class="comment">    ///</span></div>
<div class="line"><a id="l00048" name="l00048"></a><span class="lineno">   48</span><span class="comment">    /// The tempered markov chain ues it&#39;s batch capabilities allready to compute the samples for all temperatures</span></div>
<div class="line"><a id="l00049" name="l00049"></a><span class="lineno">   49</span><span class="comment">    /// At the same time. Also it is much more powerfull when all samples are drawn one after another for a higher mixing rate.</span></div>
<div class="line"><a id="l00050" name="l00050"></a><span class="lineno"><a class="line" href="classshark_1_1_energy_storing_tempered_markov_chain.html#a171eacad9f4a8371278220a8feae77c1">   50</a></span><span class="comment"></span>    <span class="keyword">static</span> <span class="keyword">const</span> <span class="keywordtype">bool</span> <a class="code hl_variable" href="classshark_1_1_energy_storing_tempered_markov_chain.html#a171eacad9f4a8371278220a8feae77c1" title="The MarkovChain can&#39;t be used to compute several samples at once.">computesBatch</a> = <span class="keyword">false</span>;</div>
<div class="line"><a id="l00051" name="l00051"></a><span class="lineno">   51</span><span class="comment"></span> </div>
<div class="line"><a id="l00052" name="l00052"></a><span class="lineno">   52</span><span class="comment">    ///\brief The type of the RBM the operator is working with.</span></div>
<div class="line"><a id="l00053" name="l00053"></a><span class="lineno"><a class="line" href="classshark_1_1_energy_storing_tempered_markov_chain.html#aec1460bd58ab50bfd1a0ab043810936f">   53</a></span><span class="comment"></span>    <span class="keyword">typedef</span> <span class="keyword">typename</span> Operator::RBM <a class="code hl_typedef" href="classshark_1_1_energy_storing_tempered_markov_chain.html#aec1460bd58ab50bfd1a0ab043810936f" title="The type of the RBM the operator is working with.">RBM</a>;</div>
<div class="line"><a id="l00054" name="l00054"></a><span class="lineno">   54</span>    <span class="comment"></span></div>
<div class="line"><a id="l00055" name="l00055"></a><span class="lineno">   55</span><span class="comment">    ///\brief A batch of samples containing hidden and visible samples as well as the energies.</span></div>
<div class="line"><a id="l00056" name="l00056"></a><span class="lineno"><a class="line" href="classshark_1_1_energy_storing_tempered_markov_chain.html#a0440df45c63b02e09d72f4cfd9781b2d">   56</a></span><span class="comment"></span>    <span class="keyword">typedef</span> <span class="keyword">typename</span> <a class="code hl_typedef" href="classshark_1_1_tempered_markov_chain.html#af3c35158845cdeba9085921999345885" title="A batch of samples containing hidden and visible samples as well as the energies.">TemperedMarkovChain&lt;Operator&gt;::SampleBatch</a> <a class="code hl_typedef" href="classshark_1_1_energy_storing_tempered_markov_chain.html#a0440df45c63b02e09d72f4cfd9781b2d" title="A batch of samples containing hidden and visible samples as well as the energies.">SampleBatch</a>;</div>
<div class="line"><a id="l00057" name="l00057"></a><span class="lineno">   57</span>    <span class="comment"></span></div>
<div class="line"><a id="l00058" name="l00058"></a><span class="lineno">   58</span><span class="comment">    ///\brief Mutable reference to an element of the batch.</span></div>
<div class="line"><a id="l00059" name="l00059"></a><span class="lineno"><a class="line" href="classshark_1_1_energy_storing_tempered_markov_chain.html#acb70640b149f2347d316fdf492db8a55">   59</a></span><span class="comment"></span>    <span class="keyword">typedef</span> <span class="keyword">typename</span> SampleBatch::reference <a class="code hl_typedef" href="classshark_1_1_energy_storing_tempered_markov_chain.html#acb70640b149f2347d316fdf492db8a55" title="Mutable reference to an element of the batch.">reference</a>;</div>
<div class="line"><a id="l00060" name="l00060"></a><span class="lineno">   60</span>    <span class="comment"></span></div>
<div class="line"><a id="l00061" name="l00061"></a><span class="lineno">   61</span><span class="comment">    ///\brief Immutable reference to an element of the batch.</span></div>
<div class="line"><a id="l00062" name="l00062"></a><span class="lineno"><a class="line" href="classshark_1_1_energy_storing_tempered_markov_chain.html#aa200ee423276beeffc81372037e1c926">   62</a></span><span class="comment"></span>    <span class="keyword">typedef</span> <span class="keyword">typename</span> SampleBatch::const_reference <a class="code hl_typedef" href="classshark_1_1_energy_storing_tempered_markov_chain.html#aa200ee423276beeffc81372037e1c926" title="Immutable reference to an element of the batch.">const_reference</a>;</div>
<div class="line"><a id="l00063" name="l00063"></a><span class="lineno">   63</span>    </div>
<div class="line"><a id="l00064" name="l00064"></a><span class="lineno">   64</span><span class="keyword">private</span>:</div>
<div class="line"><a id="l00065" name="l00065"></a><span class="lineno">   65</span>    </div>
<div class="line"><a id="l00066" name="l00066"></a><span class="lineno">   66</span>    <a class="code hl_class" href="classshark_1_1_tempered_markov_chain.html">TemperedMarkovChain&lt;Operator&gt;</a> m_chain;</div>
<div class="line"><a id="l00067" name="l00067"></a><span class="lineno">   67</span>    </div>
<div class="line"><a id="l00068" name="l00068"></a><span class="lineno">   68</span>    <span class="keywordtype">bool</span> m_storeEnergyDifferences;</div>
<div class="line"><a id="l00069" name="l00069"></a><span class="lineno">   69</span>    <span class="keywordtype">bool</span> m_integrateEnergyDifferences;</div>
<div class="line"><a id="l00070" name="l00070"></a><span class="lineno">   70</span>    std::vector&lt;RealVector&gt; m_energyDiffUp;</div>
<div class="line"><a id="l00071" name="l00071"></a><span class="lineno">   71</span>    std::vector&lt;RealVector&gt; m_energyDiffDown;</div>
<div class="line"><a id="l00072" name="l00072"></a><span class="lineno">   72</span>    </div>
<div class="line"><a id="l00073" name="l00073"></a><span class="lineno">   73</span><span class="keyword">public</span>:</div>
<div class="foldopen" id="foldopen00074" data-start="{" data-end="}">
<div class="line"><a id="l00074" name="l00074"></a><span class="lineno"><a class="line" href="classshark_1_1_energy_storing_tempered_markov_chain.html#ae7a05f61a5585d9bdd366123a231b96d">   74</a></span>    <a class="code hl_function" href="classshark_1_1_energy_storing_tempered_markov_chain.html#ae7a05f61a5585d9bdd366123a231b96d">EnergyStoringTemperedMarkovChain</a>(<a class="code hl_typedef" href="classshark_1_1_energy_storing_tempered_markov_chain.html#aec1460bd58ab50bfd1a0ab043810936f" title="The type of the RBM the operator is working with.">RBM</a>* rbm, </div>
<div class="line"><a id="l00075" name="l00075"></a><span class="lineno">   75</span>        <span class="keywordtype">bool</span> integrateEnergyDifferences = <span class="keyword">true</span></div>
<div class="line"><a id="l00076" name="l00076"></a><span class="lineno">   76</span>    ):m_chain(rbm)</div>
<div class="line"><a id="l00077" name="l00077"></a><span class="lineno">   77</span>    , m_integrateEnergyDifferences(integrateEnergyDifferences)</div>
<div class="line"><a id="l00078" name="l00078"></a><span class="lineno">   78</span>    , m_storeEnergyDifferences(true){}</div>
</div>
<div class="line"><a id="l00079" name="l00079"></a><span class="lineno">   79</span>    </div>
<div class="foldopen" id="foldopen00080" data-start="{" data-end="}">
<div class="line"><a id="l00080" name="l00080"></a><span class="lineno"><a class="line" href="classshark_1_1_energy_storing_tempered_markov_chain.html#a095ed740b5339a40a8dae97f2119b97b">   80</a></span>    <span class="keyword">const</span> Operator&amp; <a class="code hl_function" href="classshark_1_1_energy_storing_tempered_markov_chain.html#a095ed740b5339a40a8dae97f2119b97b">transitionOperator</a>()<span class="keyword">const</span>{</div>
<div class="line"><a id="l00081" name="l00081"></a><span class="lineno">   81</span>        <span class="keywordflow">return</span> m_chain.<a class="code hl_function" href="classshark_1_1_tempered_markov_chain.html#a26911979f0d57257974d9fc19e2ce5fd">transitionOperator</a>();</div>
<div class="line"><a id="l00082" name="l00082"></a><span class="lineno">   82</span>    }</div>
</div>
<div class="foldopen" id="foldopen00083" data-start="{" data-end="}">
<div class="line"><a id="l00083" name="l00083"></a><span class="lineno"><a class="line" href="classshark_1_1_energy_storing_tempered_markov_chain.html#ab38f105395b2fe6c1b046e079726c226">   83</a></span>    Operator&amp; <a class="code hl_function" href="classshark_1_1_energy_storing_tempered_markov_chain.html#ab38f105395b2fe6c1b046e079726c226">transitionOperator</a>(){</div>
<div class="line"><a id="l00084" name="l00084"></a><span class="lineno">   84</span>        <span class="keywordflow">return</span> m_chain.<a class="code hl_function" href="classshark_1_1_tempered_markov_chain.html#a26911979f0d57257974d9fc19e2ce5fd">transitionOperator</a>();</div>
<div class="line"><a id="l00085" name="l00085"></a><span class="lineno">   85</span>    }</div>
</div>
<div class="line"><a id="l00086" name="l00086"></a><span class="lineno">   86</span>    </div>
<div class="foldopen" id="foldopen00087" data-start="{" data-end="}">
<div class="line"><a id="l00087" name="l00087"></a><span class="lineno"><a class="line" href="classshark_1_1_energy_storing_tempered_markov_chain.html#a62a2ca127f47380ec50bd859487e2e96">   87</a></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_energy_storing_tempered_markov_chain.html#a62a2ca127f47380ec50bd859487e2e96">setNumberOfTemperatures</a>(std::size_t temperatures){</div>
<div class="line"><a id="l00088" name="l00088"></a><span class="lineno">   88</span>        m_chain.<a class="code hl_function" href="classshark_1_1_tempered_markov_chain.html#aecba5353377bf74ef5f5171c943809dc" title="Sets the number of temperatures and initializes the tempered chains accordingly.">setNumberOfTemperatures</a>(temperatures);</div>
<div class="line"><a id="l00089" name="l00089"></a><span class="lineno">   89</span>    }</div>
</div>
<div class="foldopen" id="foldopen00090" data-start="{" data-end="}">
<div class="line"><a id="l00090" name="l00090"></a><span class="lineno"><a class="line" href="classshark_1_1_energy_storing_tempered_markov_chain.html#a2d6f3031dbae2513fa3bba83f261e69b">   90</a></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_energy_storing_tempered_markov_chain.html#a2d6f3031dbae2513fa3bba83f261e69b">setUniformTemperatureSpacing</a>(std::size_t temperatures){</div>
<div class="line"><a id="l00091" name="l00091"></a><span class="lineno">   91</span>        m_chain.<a class="code hl_function" href="classshark_1_1_tempered_markov_chain.html#ad30ceacbe721d4d53e1b34a9021b602c" title="Sets the number of temperatures and initializes them in a uniform spacing.">setUniformTemperatureSpacing</a>(temperatures);</div>
<div class="line"><a id="l00092" name="l00092"></a><span class="lineno">   92</span>    }</div>
</div>
<div class="line"><a id="l00093" name="l00093"></a><span class="lineno">   93</span><span class="comment"></span> </div>
<div class="line"><a id="l00094" name="l00094"></a><span class="lineno">   94</span><span class="comment">    /// \brief Returns the number Of temperatures.</span></div>
<div class="foldopen" id="foldopen00095" data-start="{" data-end="}">
<div class="line"><a id="l00095" name="l00095"></a><span class="lineno"><a class="line" href="classshark_1_1_energy_storing_tempered_markov_chain.html#a11d7ba7c75b98dd5809001fa8bf1ef2c">   95</a></span><span class="comment"></span>    std::size_t <a class="code hl_function" href="classshark_1_1_energy_storing_tempered_markov_chain.html#a11d7ba7c75b98dd5809001fa8bf1ef2c" title="Returns the number Of temperatures.">numberOfTemperatures</a>()<span class="keyword">const</span>{</div>
<div class="line"><a id="l00096" name="l00096"></a><span class="lineno">   96</span>        <span class="keywordflow">return</span> m_chain.<a class="code hl_function" href="classshark_1_1_tempered_markov_chain.html#aecd5dbebaff6502d13430266dda8cec6" title="Returns the number Of temperatures.">numberOfTemperatures</a>();</div>
<div class="line"><a id="l00097" name="l00097"></a><span class="lineno">   97</span>    }</div>
</div>
<div class="line"><a id="l00098" name="l00098"></a><span class="lineno">   98</span>    </div>
<div class="foldopen" id="foldopen00099" data-start="{" data-end="}">
<div class="line"><a id="l00099" name="l00099"></a><span class="lineno"><a class="line" href="classshark_1_1_energy_storing_tempered_markov_chain.html#afa0c9dd682454dfa5f3b08cf87a5ded2">   99</a></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_energy_storing_tempered_markov_chain.html#afa0c9dd682454dfa5f3b08cf87a5ded2">setBatchSize</a>(std::size_t <a class="code hl_function" href="classshark_1_1_energy_storing_tempered_markov_chain.html#a862d3a6d440f46551a810fafb39402c6">batchSize</a>){</div>
<div class="line"><a id="l00100" name="l00100"></a><span class="lineno">  100</span>        <a class="code hl_define" href="_exception_8h.html#adce1f80097c69010f5eab2618fa2e971">SHARK_RUNTIME_CHECK</a>(<a class="code hl_function" href="classshark_1_1_energy_storing_tempered_markov_chain.html#a862d3a6d440f46551a810fafb39402c6">batchSize</a> == 1, <span class="stringliteral">&quot;Markov chain can only compute batches of size 1.&quot;</span>);</div>
<div class="line"><a id="l00101" name="l00101"></a><span class="lineno">  101</span>    }</div>
</div>
<div class="foldopen" id="foldopen00102" data-start="{" data-end="}">
<div class="line"><a id="l00102" name="l00102"></a><span class="lineno"><a class="line" href="classshark_1_1_energy_storing_tempered_markov_chain.html#a862d3a6d440f46551a810fafb39402c6">  102</a></span>    std::size_t <a class="code hl_function" href="classshark_1_1_energy_storing_tempered_markov_chain.html#a862d3a6d440f46551a810fafb39402c6">batchSize</a>(){</div>
<div class="line"><a id="l00103" name="l00103"></a><span class="lineno">  103</span>        <span class="keywordflow">return</span> 1;</div>
<div class="line"><a id="l00104" name="l00104"></a><span class="lineno">  104</span>    }</div>
</div>
<div class="line"><a id="l00105" name="l00105"></a><span class="lineno">  105</span>    </div>
<div class="foldopen" id="foldopen00106" data-start="{" data-end="}">
<div class="line"><a id="l00106" name="l00106"></a><span class="lineno"><a class="line" href="classshark_1_1_energy_storing_tempered_markov_chain.html#a1d7b2d83d91b79b18274565db1f8b93b">  106</a></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_energy_storing_tempered_markov_chain.html#a1d7b2d83d91b79b18274565db1f8b93b">setBeta</a>(std::size_t i, <span class="keywordtype">double</span> <a class="code hl_function" href="classshark_1_1_energy_storing_tempered_markov_chain.html#a562f689c170cdf5e8e73e65aec437b4d">beta</a>){</div>
<div class="line"><a id="l00107" name="l00107"></a><span class="lineno">  107</span>        m_chain.<a class="code hl_function" href="classshark_1_1_tempered_markov_chain.html#af20c825470283873aa35ca48fb831069">setBeta</a>(i,<a class="code hl_function" href="classshark_1_1_energy_storing_tempered_markov_chain.html#a562f689c170cdf5e8e73e65aec437b4d">beta</a>);</div>
<div class="line"><a id="l00108" name="l00108"></a><span class="lineno">  108</span>    }</div>
</div>
<div class="line"><a id="l00109" name="l00109"></a><span class="lineno">  109</span>    </div>
<div class="foldopen" id="foldopen00110" data-start="{" data-end="}">
<div class="line"><a id="l00110" name="l00110"></a><span class="lineno"><a class="line" href="classshark_1_1_energy_storing_tempered_markov_chain.html#ab07c1453c6cadb92927acfcf4354c5b0">  110</a></span>    <span class="keywordtype">double</span> <a class="code hl_function" href="classshark_1_1_energy_storing_tempered_markov_chain.html#ab07c1453c6cadb92927acfcf4354c5b0">beta</a>(std::size_t i)<span class="keyword">const</span>{</div>
<div class="line"><a id="l00111" name="l00111"></a><span class="lineno">  111</span>        <span class="keywordflow">return</span> m_chain.<a class="code hl_function" href="classshark_1_1_tempered_markov_chain.html#affbe3936aa5f1429657be37e260abce7">beta</a>(i);</div>
<div class="line"><a id="l00112" name="l00112"></a><span class="lineno">  112</span>    }</div>
</div>
<div class="line"><a id="l00113" name="l00113"></a><span class="lineno">  113</span>    </div>
<div class="foldopen" id="foldopen00114" data-start="{" data-end="}">
<div class="line"><a id="l00114" name="l00114"></a><span class="lineno"><a class="line" href="classshark_1_1_energy_storing_tempered_markov_chain.html#a562f689c170cdf5e8e73e65aec437b4d">  114</a></span>    RealVector <span class="keyword">const</span>&amp; <a class="code hl_function" href="classshark_1_1_energy_storing_tempered_markov_chain.html#a562f689c170cdf5e8e73e65aec437b4d">beta</a>()<span class="keyword">const</span>{</div>
<div class="line"><a id="l00115" name="l00115"></a><span class="lineno">  115</span>        <span class="keywordflow">return</span> m_chain.<a class="code hl_function" href="classshark_1_1_tempered_markov_chain.html#affbe3936aa5f1429657be37e260abce7">beta</a>();</div>
<div class="line"><a id="l00116" name="l00116"></a><span class="lineno">  116</span>    }</div>
</div>
<div class="line"><a id="l00117" name="l00117"></a><span class="lineno">  117</span>    <span class="comment"></span></div>
<div class="line"><a id="l00118" name="l00118"></a><span class="lineno">  118</span><span class="comment">    ///\brief Returns the current state of the chain for beta = 1.</span></div>
<div class="foldopen" id="foldopen00119" data-start="{" data-end="}">
<div class="line"><a id="l00119" name="l00119"></a><span class="lineno"><a class="line" href="classshark_1_1_energy_storing_tempered_markov_chain.html#ae2228ae158c0d70b468830469bfe90e6">  119</a></span><span class="comment"></span>    <a class="code hl_typedef" href="classshark_1_1_energy_storing_tempered_markov_chain.html#aa200ee423276beeffc81372037e1c926" title="Immutable reference to an element of the batch.">const_reference</a> <a class="code hl_function" href="classshark_1_1_energy_storing_tempered_markov_chain.html#ae2228ae158c0d70b468830469bfe90e6" title="Returns the current state of the chain for beta = 1.">sample</a>()<span class="keyword">const</span>{</div>
<div class="line"><a id="l00120" name="l00120"></a><span class="lineno">  120</span>        <span class="keywordflow">return</span> m_chain.<a class="code hl_function" href="classshark_1_1_tempered_markov_chain.html#ae9c9fbdf0f08ef6a805be89c0d891fbd" title="Returns the current state of the chain for beta = 1.">sample</a>();</div>
<div class="line"><a id="l00121" name="l00121"></a><span class="lineno">  121</span>    }<span class="comment"></span></div>
</div>
<div class="line"><a id="l00122" name="l00122"></a><span class="lineno">  122</span><span class="comment">    ///\brief Returns the current state of the chain for all beta values.</span></div>
<div class="foldopen" id="foldopen00123" data-start="{" data-end="}">
<div class="line"><a id="l00123" name="l00123"></a><span class="lineno"><a class="line" href="classshark_1_1_energy_storing_tempered_markov_chain.html#a20fc0a86084c2e52e4c6b06c223bb21f">  123</a></span><span class="comment"></span>    <a class="code hl_typedef" href="classshark_1_1_energy_storing_tempered_markov_chain.html#a0440df45c63b02e09d72f4cfd9781b2d" title="A batch of samples containing hidden and visible samples as well as the energies.">SampleBatch</a> <span class="keyword">const</span>&amp; <a class="code hl_function" href="classshark_1_1_energy_storing_tempered_markov_chain.html#a20fc0a86084c2e52e4c6b06c223bb21f" title="Returns the current state of the chain for all beta values.">samples</a>()<span class="keyword">const</span>{</div>
<div class="line"><a id="l00124" name="l00124"></a><span class="lineno">  124</span>        <span class="keywordflow">return</span> m_chain.<a class="code hl_function" href="classshark_1_1_tempered_markov_chain.html#a38ea16dcdd1a7f8182ff95fba7b34554" title="Returns the current state of the chain for all beta values.">samples</a>();</div>
<div class="line"><a id="l00125" name="l00125"></a><span class="lineno">  125</span>    }</div>
</div>
<div class="line"><a id="l00126" name="l00126"></a><span class="lineno">  126</span>    <span class="comment"></span></div>
<div class="line"><a id="l00127" name="l00127"></a><span class="lineno">  127</span><span class="comment">    /// \brief Returns the current batch of samples of the Markov chain. </span></div>
<div class="foldopen" id="foldopen00128" data-start="{" data-end="}">
<div class="line"><a id="l00128" name="l00128"></a><span class="lineno"><a class="line" href="classshark_1_1_energy_storing_tempered_markov_chain.html#a307f9a93bd1302b472818bba62bc07b9">  128</a></span><span class="comment"></span>    <a class="code hl_typedef" href="classshark_1_1_energy_storing_tempered_markov_chain.html#a0440df45c63b02e09d72f4cfd9781b2d" title="A batch of samples containing hidden and visible samples as well as the energies.">SampleBatch</a>&amp; <a class="code hl_function" href="classshark_1_1_energy_storing_tempered_markov_chain.html#a307f9a93bd1302b472818bba62bc07b9" title="Returns the current batch of samples of the Markov chain.">samples</a>(){</div>
<div class="line"><a id="l00129" name="l00129"></a><span class="lineno">  129</span>        <span class="keywordflow">return</span> m_chain.<a class="code hl_function" href="classshark_1_1_tempered_markov_chain.html#a38ea16dcdd1a7f8182ff95fba7b34554" title="Returns the current state of the chain for all beta values.">samples</a>();</div>
<div class="line"><a id="l00130" name="l00130"></a><span class="lineno">  130</span>    }</div>
</div>
<div class="line"><a id="l00131" name="l00131"></a><span class="lineno">  131</span><span class="comment"></span> </div>
<div class="line"><a id="l00132" name="l00132"></a><span class="lineno">  132</span><span class="comment">    ///\brief Initializes the markov chain using samples drawn uniformly from the set.</span></div>
<div class="line"><a id="l00133" name="l00133"></a><span class="lineno">  133</span><span class="comment">    ///</span></div>
<div class="line"><a id="l00134" name="l00134"></a><span class="lineno">  134</span><span class="comment">    /// @param dataSet the data set</span></div>
<div class="foldopen" id="foldopen00135" data-start="{" data-end="}">
<div class="line"><a id="l00135" name="l00135"></a><span class="lineno"><a class="line" href="classshark_1_1_energy_storing_tempered_markov_chain.html#a21b3be14d212c43e6503cad08301d393">  135</a></span><span class="comment"></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_energy_storing_tempered_markov_chain.html#a21b3be14d212c43e6503cad08301d393" title="Initializes the markov chain using samples drawn uniformly from the set.">initializeChain</a>(<a class="code hl_class" href="classshark_1_1_data.html" title="Data container.">Data&lt;RealVector&gt;</a> <span class="keyword">const</span>&amp; dataSet){</div>
<div class="line"><a id="l00136" name="l00136"></a><span class="lineno">  136</span>        m_chain.<a class="code hl_function" href="classshark_1_1_tempered_markov_chain.html#a09bdfb62397058b4f8ef2cff44e55654" title="Initializes the markov chain using samples drawn uniformly from the set.">initializeChain</a>(dataSet);</div>
<div class="line"><a id="l00137" name="l00137"></a><span class="lineno">  137</span>    }</div>
</div>
<div class="line"><a id="l00138" name="l00138"></a><span class="lineno">  138</span>    <span class="comment"></span></div>
<div class="line"><a id="l00139" name="l00139"></a><span class="lineno">  139</span><span class="comment">    /// \brief Initializes with data points from a batch of points</span></div>
<div class="line"><a id="l00140" name="l00140"></a><span class="lineno">  140</span><span class="comment">    ///</span></div>
<div class="line"><a id="l00141" name="l00141"></a><span class="lineno">  141</span><span class="comment">    /// @param sampleData the data set</span></div>
<div class="foldopen" id="foldopen00142" data-start="{" data-end="}">
<div class="line"><a id="l00142" name="l00142"></a><span class="lineno"><a class="line" href="classshark_1_1_energy_storing_tempered_markov_chain.html#a5fe9dff467776481c156f52abd39bd94">  142</a></span><span class="comment"></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_energy_storing_tempered_markov_chain.html#a5fe9dff467776481c156f52abd39bd94" title="Initializes with data points from a batch of points.">initializeChain</a>(RealMatrix <span class="keyword">const</span>&amp; sampleData){</div>
<div class="line"><a id="l00143" name="l00143"></a><span class="lineno">  143</span>        m_chain.<a class="code hl_function" href="classshark_1_1_tempered_markov_chain.html#a09bdfb62397058b4f8ef2cff44e55654" title="Initializes the markov chain using samples drawn uniformly from the set.">initializeChain</a>(sampleData);</div>
<div class="line"><a id="l00144" name="l00144"></a><span class="lineno">  144</span>    }</div>
</div>
<div class="line"><a id="l00145" name="l00145"></a><span class="lineno">  145</span>    <span class="comment">//updates the chain using the current sample</span></div>
<div class="foldopen" id="foldopen00146" data-start="{" data-end="}">
<div class="line"><a id="l00146" name="l00146"></a><span class="lineno"><a class="line" href="classshark_1_1_energy_storing_tempered_markov_chain.html#a390d4deeed260f32028b2935dd5b7ddb">  146</a></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_energy_storing_tempered_markov_chain.html#a390d4deeed260f32028b2935dd5b7ddb">step</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> k){</div>
<div class="line"><a id="l00147" name="l00147"></a><span class="lineno">  147</span>        m_chain.<a class="code hl_function" href="classshark_1_1_tempered_markov_chain.html#af553df4a635f56eac428e064df65ccea">step</a>(k);</div>
<div class="line"><a id="l00148" name="l00148"></a><span class="lineno">  148</span>        </div>
<div class="line"><a id="l00149" name="l00149"></a><span class="lineno">  149</span>        <span class="keywordflow">if</span>(!<a class="code hl_function" href="classshark_1_1_energy_storing_tempered_markov_chain.html#a5d6031a54692fdd85387eb9a2f410b22">storeEnergyDifferences</a>()) <span class="keywordflow">return</span>;</div>
<div class="line"><a id="l00150" name="l00150"></a><span class="lineno">  150</span>        </div>
<div class="line"><a id="l00151" name="l00151"></a><span class="lineno">  151</span>        <span class="keyword">typename</span> <a class="code hl_struct" href="structshark_1_1_energy.html" title="The Energy function determining the Gibbs distribution of an RBM.">RBM::EnergyType</a> energy = <a class="code hl_function" href="classshark_1_1_energy_storing_tempered_markov_chain.html#a095ed740b5339a40a8dae97f2119b97b">transitionOperator</a>().rbm()-&gt;<a class="code hl_function" href="structshark_1_1_energy.html#aa07edf12f92820285d1b51495cdafb35" title="Calculates the Energy given the states of batches of hidden and visible variables .">energy</a>();</div>
<div class="line"><a id="l00152" name="l00152"></a><span class="lineno">  152</span>        std::size_t numChains = <a class="code hl_function" href="classshark_1_1_energy_storing_tempered_markov_chain.html#a562f689c170cdf5e8e73e65aec437b4d">beta</a>().size();</div>
<div class="line"><a id="l00153" name="l00153"></a><span class="lineno">  153</span>        <span class="comment">//create diff beta vectors</span></div>
<div class="line"><a id="l00154" name="l00154"></a><span class="lineno">  154</span>        RealVector betaUp(numChains);</div>
<div class="line"><a id="l00155" name="l00155"></a><span class="lineno">  155</span>        RealVector betaDown(numChains);</div>
<div class="line"><a id="l00156" name="l00156"></a><span class="lineno">  156</span>        betaUp(0) = 1.0;</div>
<div class="line"><a id="l00157" name="l00157"></a><span class="lineno">  157</span>        betaDown(numChains-1) = 0.0;</div>
<div class="line"><a id="l00158" name="l00158"></a><span class="lineno">  158</span>        <span class="keywordflow">for</span>(std::size_t i = 0; i != numChains-1; ++i){</div>
<div class="line"><a id="l00159" name="l00159"></a><span class="lineno">  159</span>            betaDown(i) = <a class="code hl_function" href="classshark_1_1_energy_storing_tempered_markov_chain.html#a562f689c170cdf5e8e73e65aec437b4d">beta</a>()(i+1);</div>
<div class="line"><a id="l00160" name="l00160"></a><span class="lineno">  160</span>            betaUp(i+1) = <a class="code hl_function" href="classshark_1_1_energy_storing_tempered_markov_chain.html#a562f689c170cdf5e8e73e65aec437b4d">beta</a>()(i);</div>
<div class="line"><a id="l00161" name="l00161"></a><span class="lineno">  161</span>        }</div>
<div class="line"><a id="l00162" name="l00162"></a><span class="lineno">  162</span>        </div>
<div class="line"><a id="l00163" name="l00163"></a><span class="lineno">  163</span>        RealVector energyDiffUp(numChains);</div>
<div class="line"><a id="l00164" name="l00164"></a><span class="lineno">  164</span>        RealVector energyDiffDown(numChains);</div>
<div class="line"><a id="l00165" name="l00165"></a><span class="lineno">  165</span>        <span class="keywordflow">if</span>(!m_integrateEnergyDifferences){</div>
<div class="line"><a id="l00166" name="l00166"></a><span class="lineno">  166</span>            noalias(energyDiffUp) = <a class="code hl_function" href="classshark_1_1_energy_storing_tempered_markov_chain.html#a20fc0a86084c2e52e4c6b06c223bb21f" title="Returns the current state of the chain for all beta values.">samples</a>().energy*(betaUp-<a class="code hl_function" href="classshark_1_1_energy_storing_tempered_markov_chain.html#a562f689c170cdf5e8e73e65aec437b4d">beta</a>());</div>
<div class="line"><a id="l00167" name="l00167"></a><span class="lineno">  167</span>            noalias(energyDiffDown) = <a class="code hl_function" href="classshark_1_1_energy_storing_tempered_markov_chain.html#a20fc0a86084c2e52e4c6b06c223bb21f" title="Returns the current state of the chain for all beta values.">samples</a>().energy*(betaDown-<a class="code hl_function" href="classshark_1_1_energy_storing_tempered_markov_chain.html#a562f689c170cdf5e8e73e65aec437b4d">beta</a>());</div>
<div class="line"><a id="l00168" name="l00168"></a><span class="lineno">  168</span>        }</div>
<div class="line"><a id="l00169" name="l00169"></a><span class="lineno">  169</span>        <span class="keywordflow">else</span>{</div>
<div class="line"><a id="l00170" name="l00170"></a><span class="lineno">  170</span>            <span class="comment">//calculate the first term: -E(state,beta) thats the same for both matrices</span></div>
<div class="line"><a id="l00171" name="l00171"></a><span class="lineno">  171</span>            energy.<a class="code hl_function" href="structshark_1_1_energy.html#acf73968e06c43cedaf8fede5b2bf7782" title="Calculates the input of the visible neurons given the state of the hidden.">inputVisible</a>(<a class="code hl_function" href="classshark_1_1_energy_storing_tempered_markov_chain.html#a20fc0a86084c2e52e4c6b06c223bb21f" title="Returns the current state of the chain for all beta values.">samples</a>().visible.input, <a class="code hl_function" href="classshark_1_1_energy_storing_tempered_markov_chain.html#a20fc0a86084c2e52e4c6b06c223bb21f" title="Returns the current state of the chain for all beta values.">samples</a>().hidden.state);</div>
<div class="line"><a id="l00172" name="l00172"></a><span class="lineno">  172</span>            noalias(energyDiffDown) = energy.<a class="code hl_function" href="structshark_1_1_energy.html#afa5365f469f52d0682d3820fb071fa1b" title="Computes the logarithm of the unnormalized probability of each state of the hidden neurons in a batch...">logUnnormalizedProbabilityHidden</a>(</div>
<div class="line"><a id="l00173" name="l00173"></a><span class="lineno">  173</span>                <a class="code hl_function" href="classshark_1_1_energy_storing_tempered_markov_chain.html#a20fc0a86084c2e52e4c6b06c223bb21f" title="Returns the current state of the chain for all beta values.">samples</a>().hidden.state,</div>
<div class="line"><a id="l00174" name="l00174"></a><span class="lineno">  174</span>                <a class="code hl_function" href="classshark_1_1_energy_storing_tempered_markov_chain.html#a20fc0a86084c2e52e4c6b06c223bb21f" title="Returns the current state of the chain for all beta values.">samples</a>().visible.input,</div>
<div class="line"><a id="l00175" name="l00175"></a><span class="lineno">  175</span>                <a class="code hl_function" href="classshark_1_1_energy_storing_tempered_markov_chain.html#a562f689c170cdf5e8e73e65aec437b4d">beta</a>()</div>
<div class="line"><a id="l00176" name="l00176"></a><span class="lineno">  176</span>            );</div>
<div class="line"><a id="l00177" name="l00177"></a><span class="lineno">  177</span>            noalias(energyDiffUp) = energyDiffDown;</div>
<div class="line"><a id="l00178" name="l00178"></a><span class="lineno">  178</span>            </div>
<div class="line"><a id="l00179" name="l00179"></a><span class="lineno">  179</span>            <span class="comment">//now add the new term</span></div>
<div class="line"><a id="l00180" name="l00180"></a><span class="lineno">  180</span>            noalias(energyDiffUp) -= energy.<a class="code hl_function" href="structshark_1_1_energy.html#afa5365f469f52d0682d3820fb071fa1b" title="Computes the logarithm of the unnormalized probability of each state of the hidden neurons in a batch...">logUnnormalizedProbabilityHidden</a>(</div>
<div class="line"><a id="l00181" name="l00181"></a><span class="lineno">  181</span>                <a class="code hl_function" href="classshark_1_1_energy_storing_tempered_markov_chain.html#a20fc0a86084c2e52e4c6b06c223bb21f" title="Returns the current state of the chain for all beta values.">samples</a>().hidden.state,</div>
<div class="line"><a id="l00182" name="l00182"></a><span class="lineno">  182</span>                <a class="code hl_function" href="classshark_1_1_energy_storing_tempered_markov_chain.html#a20fc0a86084c2e52e4c6b06c223bb21f" title="Returns the current state of the chain for all beta values.">samples</a>().visible.input,</div>
<div class="line"><a id="l00183" name="l00183"></a><span class="lineno">  183</span>                betaUp</div>
<div class="line"><a id="l00184" name="l00184"></a><span class="lineno">  184</span>            );</div>
<div class="line"><a id="l00185" name="l00185"></a><span class="lineno">  185</span>            noalias(energyDiffDown) -= energy.<a class="code hl_function" href="structshark_1_1_energy.html#afa5365f469f52d0682d3820fb071fa1b" title="Computes the logarithm of the unnormalized probability of each state of the hidden neurons in a batch...">logUnnormalizedProbabilityHidden</a>(</div>
<div class="line"><a id="l00186" name="l00186"></a><span class="lineno">  186</span>                <a class="code hl_function" href="classshark_1_1_energy_storing_tempered_markov_chain.html#a20fc0a86084c2e52e4c6b06c223bb21f" title="Returns the current state of the chain for all beta values.">samples</a>().hidden.state,</div>
<div class="line"><a id="l00187" name="l00187"></a><span class="lineno">  187</span>                <a class="code hl_function" href="classshark_1_1_energy_storing_tempered_markov_chain.html#a20fc0a86084c2e52e4c6b06c223bb21f" title="Returns the current state of the chain for all beta values.">samples</a>().visible.input,</div>
<div class="line"><a id="l00188" name="l00188"></a><span class="lineno">  188</span>                betaDown</div>
<div class="line"><a id="l00189" name="l00189"></a><span class="lineno">  189</span>            );</div>
<div class="line"><a id="l00190" name="l00190"></a><span class="lineno">  190</span>        }</div>
<div class="line"><a id="l00191" name="l00191"></a><span class="lineno">  191</span>        m_energyDiffUp.push_back(energyDiffUp);</div>
<div class="line"><a id="l00192" name="l00192"></a><span class="lineno">  192</span>        m_energyDiffDown.push_back(energyDiffDown);</div>
<div class="line"><a id="l00193" name="l00193"></a><span class="lineno">  193</span>    }</div>
</div>
<div class="line"><a id="l00194" name="l00194"></a><span class="lineno">  194</span>    </div>
<div class="foldopen" id="foldopen00195" data-start="{" data-end="}">
<div class="line"><a id="l00195" name="l00195"></a><span class="lineno"><a class="line" href="classshark_1_1_energy_storing_tempered_markov_chain.html#a98bb5d7502c757a432822bc43e57dee8">  195</a></span>    RealMatrix <a class="code hl_function" href="classshark_1_1_energy_storing_tempered_markov_chain.html#a98bb5d7502c757a432822bc43e57dee8">getUpDifferences</a>()<span class="keyword">const</span>{</div>
<div class="line"><a id="l00196" name="l00196"></a><span class="lineno">  196</span>        RealMatrix diffUp(<a class="code hl_function" href="classshark_1_1_energy_storing_tempered_markov_chain.html#a562f689c170cdf5e8e73e65aec437b4d">beta</a>().size(),m_energyDiffUp.size());</div>
<div class="line"><a id="l00197" name="l00197"></a><span class="lineno">  197</span>        <span class="keywordflow">for</span>(std::size_t i = 0; i != m_energyDiffUp.size(); ++i){</div>
<div class="line"><a id="l00198" name="l00198"></a><span class="lineno">  198</span>            noalias(column(diffUp,i)) = m_energyDiffUp[i];</div>
<div class="line"><a id="l00199" name="l00199"></a><span class="lineno">  199</span>        }</div>
<div class="line"><a id="l00200" name="l00200"></a><span class="lineno">  200</span>        <span class="keywordflow">return</span> diffUp;</div>
<div class="line"><a id="l00201" name="l00201"></a><span class="lineno">  201</span>    }</div>
</div>
<div class="foldopen" id="foldopen00202" data-start="{" data-end="}">
<div class="line"><a id="l00202" name="l00202"></a><span class="lineno"><a class="line" href="classshark_1_1_energy_storing_tempered_markov_chain.html#a7efbbd03042d38540e84c5cfdbfaf283">  202</a></span>    RealMatrix <a class="code hl_function" href="classshark_1_1_energy_storing_tempered_markov_chain.html#a7efbbd03042d38540e84c5cfdbfaf283">getDownDifferences</a>()<span class="keyword">const</span>{</div>
<div class="line"><a id="l00203" name="l00203"></a><span class="lineno">  203</span>        RealMatrix diffDown(<a class="code hl_function" href="classshark_1_1_energy_storing_tempered_markov_chain.html#a562f689c170cdf5e8e73e65aec437b4d">beta</a>().size(),m_energyDiffDown.size());</div>
<div class="line"><a id="l00204" name="l00204"></a><span class="lineno">  204</span>        <span class="keywordflow">for</span>(std::size_t i = 0; i != m_energyDiffDown.size(); ++i){</div>
<div class="line"><a id="l00205" name="l00205"></a><span class="lineno">  205</span>            noalias(column(diffDown,i)) = m_energyDiffDown[i];</div>
<div class="line"><a id="l00206" name="l00206"></a><span class="lineno">  206</span>        }</div>
<div class="line"><a id="l00207" name="l00207"></a><span class="lineno">  207</span>        <span class="keywordflow">return</span> diffDown;</div>
<div class="line"><a id="l00208" name="l00208"></a><span class="lineno">  208</span>    }</div>
</div>
<div class="line"><a id="l00209" name="l00209"></a><span class="lineno">  209</span>    </div>
<div class="foldopen" id="foldopen00210" data-start="{" data-end="}">
<div class="line"><a id="l00210" name="l00210"></a><span class="lineno"><a class="line" href="classshark_1_1_energy_storing_tempered_markov_chain.html#a2b1b396adf72f4143d7a22bf969bb114">  210</a></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_energy_storing_tempered_markov_chain.html#a2b1b396adf72f4143d7a22bf969bb114">resetDifferences</a>(){</div>
<div class="line"><a id="l00211" name="l00211"></a><span class="lineno">  211</span>        m_energyDiffUp.clear();</div>
<div class="line"><a id="l00212" name="l00212"></a><span class="lineno">  212</span>        m_energyDiffDown.clear();</div>
<div class="line"><a id="l00213" name="l00213"></a><span class="lineno">  213</span>    }</div>
</div>
<div class="line"><a id="l00214" name="l00214"></a><span class="lineno">  214</span>    </div>
<div class="foldopen" id="foldopen00215" data-start="{" data-end="}">
<div class="line"><a id="l00215" name="l00215"></a><span class="lineno"><a class="line" href="classshark_1_1_energy_storing_tempered_markov_chain.html#a5d6031a54692fdd85387eb9a2f410b22">  215</a></span>    <span class="keywordtype">bool</span>&amp; <a class="code hl_function" href="classshark_1_1_energy_storing_tempered_markov_chain.html#a5d6031a54692fdd85387eb9a2f410b22">storeEnergyDifferences</a>(){</div>
<div class="line"><a id="l00216" name="l00216"></a><span class="lineno">  216</span>        <span class="keywordflow">return</span> m_storeEnergyDifferences;</div>
<div class="line"><a id="l00217" name="l00217"></a><span class="lineno">  217</span>    }</div>
</div>
<div class="line"><a id="l00218" name="l00218"></a><span class="lineno">  218</span>    </div>
<div class="line"><a id="l00219" name="l00219"></a><span class="lineno">  219</span>    <span class="comment">//is called after the weights of the rbm got updated. </span></div>
<div class="line"><a id="l00220" name="l00220"></a><span class="lineno">  220</span>    <span class="comment">//this allows the chains to store intermediate results</span></div>
<div class="foldopen" id="foldopen00221" data-start="{" data-end="}">
<div class="line"><a id="l00221" name="l00221"></a><span class="lineno"><a class="line" href="classshark_1_1_energy_storing_tempered_markov_chain.html#afae3cc6e7626e291e4068ae278d96f00">  221</a></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_energy_storing_tempered_markov_chain.html#afae3cc6e7626e291e4068ae278d96f00">update</a>(){</div>
<div class="line"><a id="l00222" name="l00222"></a><span class="lineno">  222</span>        m_chain.update();</div>
<div class="line"><a id="l00223" name="l00223"></a><span class="lineno">  223</span>    }</div>
</div>
<div class="line"><a id="l00224" name="l00224"></a><span class="lineno">  224</span>};</div>
</div>
<div class="line"><a id="l00225" name="l00225"></a><span class="lineno">  225</span>    </div>
<div class="line"><a id="l00226" name="l00226"></a><span class="lineno">  226</span>}</div>
<div class="line"><a id="l00227" name="l00227"></a><span class="lineno">  227</span><span class="preprocessor">#endif</span></div>
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